Abstract

The automatic traffic sign detection and recognition (TSDR) system is very important research in the development of advanced driver assistance systems (ADAS). Investigations on vision-based TSDR have received substantial interest in the research community, which is mainly motivated by three factors, which are detection, tracking and classification. During the last decade, a substantial number of techniques have been reported for TSDR. This paper provides a comprehensive survey on traffic sign detection, tracking and classification. The details of algorithms, methods and their specifications on detection, tracking and classification are investigated and summarized in the tables along with the corresponding key references. A comparative study on each section has been provided to evaluate the TSDR data, performance metrics and their availability. Current issues and challenges of the existing technologies are illustrated with brief suggestions and a discussion on the progress of driver assistance system research in the future. This review will hopefully lead to increasing efforts towards the development of future vision-based TSDR system.

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The different versions of the original document can be found in:

https://doaj.org/toc/1424-8220 under the license cc-by
http://dx.doi.org/10.3390/s19092093
https://www.mdpi.com/1424-8220/19/9/2093/htm,
https://dblp.uni-trier.de/db/journals/sensors/sensors19.html#WaliAHHSKM19,
https://www.mdpi.com/1424-8220/19/9/2093/pdf,
https://academic.microsoft.com/#/detail/2943159229 under the license https://creativecommons.org/licenses/by/4.0/
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Published on 01/01/2019

Volume 2019, 2019
DOI: 10.3390/s19092093
Licence: Other

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